发明名称 SYSTEMS AND METHODS FOR FORECASTING USING CUSTOMER PREFERENCE PROFILES
摘要 A computer-implemented method for forecasting characteristics of a target item is disclosed. The method may include determining a forecast function representing characteristics of the target item. The forecast function may include one or more generic functions and one or more customer-specific functions. Each one of the generic functions may be uniform for a plurality of customers within one or more customer groups and may have one or more generic function variables. Each one of the customer-specific functions may be specifically configured for a corresponding customer group and may have one or more customer-specific function variables. The method may also include determining a data value for each one of the generic function variables and the customer-specific function variables by using a genetic algorithm. The method may further include forecasting the characteristics of the target item by using the forecast function and the determined data values.
申请公布号 US2014324534(A1) 申请公布日期 2014.10.30
申请号 US201313873698 申请日期 2013.04.30
申请人 CATERPILLAR INC. 发明人 GRICHNIK Anthony James;KERSH Thad Breton;SESKIN Michael
分类号 G06Q30/02 主分类号 G06Q30/02
代理机构 代理人
主权项 1. A computer-implemented method for forecasting characteristics of a target item comprising: determining a forecast function representing characteristics of the target item, wherein the forecast function includes one or more generic functions and one or more customer-specific functions, each one of the generic functions is uniform for a plurality of customers within one or more customer groups and has one or more generic function variables, and each one of the customer-specific functions is specifically configured for a corresponding customer group and has one or more customer-specific function variables; determining, by one or more processors, a data value for each one of the generic function variables and the customer-specific function variables by using a genetic algorithm; and forecasting, by the one or more processors, the characteristics of the target item by using the forecast function and the determined data values.
地址 Peoria IL US